Brazil vs Net Food Importing Developing Countries (NFIDCs): Value Added (Total Manufacturing) — Value US$, 2015 prices

Brazil
181,185 million USD
in 2023
Net Food Importing Developing Countries (NFIDCs)
450,421 million USD
in 2023
Brazil rank
13th
Net Food Importing Developing Countries (NFIDCs) rank
15th

Value Added (Total Manufacturing) — Value US$, 2015 prices over time

  • Brazil
  • Net Food Importing Developing Countries (NFIDCs)
100.0k200.0k300.0k400.0k500.0k197019962023

How they compare

Net Food Importing Developing Countries (NFIDCs) currently reports 450,421 million USD against 181,185 million USD in Brazil, a difference of 269,236 million USD.

That makes Net Food Importing Developing Countries (NFIDCs)'s figure about 2.5 times Brazil's.

The two have swapped places 6 times across 54 shared years of data; in 1970 it was Net Food Importing Developing Countries (NFIDCs) ahead.

Brazil ranks 13th and Net Food Importing Developing Countries (NFIDCs) ranks 15th of 203 countries.

Net Food Importing Developing Countries (NFIDCs) has averaged higher in every one of the 6 decades both report.

Head to head by decade

Decade Brazil Net Food Importing Developing Countries (NFIDCs) Difference Ahead
1970s 93,328 million USD 104,106 million USD 10,778 million USD Net Food Importing Developing Countries (NFIDCs)
1980s 138,433 million USD 139,223 million USD 789.9 million USD Net Food Importing Developing Countries (NFIDCs)
1990s 139,243 million USD 171,243 million USD 32,000 million USD Net Food Importing Developing Countries (NFIDCs)
2000s 184,466 million USD 249,306 million USD 64,840 million USD Net Food Importing Developing Countries (NFIDCs)
2010s 199,190 million USD 370,398 million USD 171,207 million USD Net Food Importing Developing Countries (NFIDCs)
2020s 181,762 million USD 430,260 million USD 248,497 million USD Net Food Importing Developing Countries (NFIDCs)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher value added (total manufacturing) — value us$, 2015 prices, Brazil or Net Food Importing Developing Countries (NFIDCs)?
Net Food Importing Developing Countries (NFIDCs), at 450,421 million USD against 181,185 million USD in Brazil as of 2023.
What is the difference in value added (total manufacturing) — value us$, 2015 prices between Brazil and Net Food Importing Developing Countries (NFIDCs)?
269,236 million USD, with Net Food Importing Developing Countries (NFIDCs) ahead.
How many years of comparable data are there for Brazil and Net Food Importing Developing Countries (NFIDCs)?
54 years are reported by both, from 1970 to 2023.
How do Brazil and Net Food Importing Developing Countries (NFIDCs) rank globally for value added (total manufacturing) — value us$, 2015 prices?
Brazil ranks 13th and Net Food Importing Developing Countries (NFIDCs) ranks 15th of 203 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Value Added (Total Manufacturing) — Value US$, 2015 prices. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Brazil vs Net Food Importing Developing Countries (NFIDCs): Value Added (Total Manufacturing) — Value US$, 2015 prices. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 21 August 2026, from https://economy.statizoid.com/compare/value-added-total-manufacturing-value-us-2015-prices/brazil/net-food-importing-developing-countries-nfidcs/

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About this data

Indicator
Value Added (Total Manufacturing) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
252 places, 12,511 data points, 1970–2023
Last refreshed

The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).